{"as_of":"2026-08-09T11:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8ff3bbda0f3b5dc03def2f053c029f96d4323e3b335fdf3d3019287fa166883a","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:42:34.960657Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T16:39:57.714468Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.06149","last_updated":"2024-04-16T00:24:55Z","snapshot_observed_at":"2026-08-09T01:58:31.607095Z","submitted_at":"2024-03-10T09:39:00Z","title":"Can Large Language Models Automatically Score Proficiency of Written Essays?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.06149","snapshot_observed_at":"2026-08-07T15:42:34.960657Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.13965","last_updated":"2025-05-20T06:05:56Z","snapshot_observed_at":"2026-08-09T01:02:45.725414Z","submitted_at":"2025-05-20T06:05:56Z","title":"CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoring","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-07T15:42:34.960657Z"},"links":{"cited_paper":"/paper/2403.06149","citing_paper":"/paper/2505.13965"},"observation_digest":"sha256:257861efefe26ab82ca992655da216e02a6b17983888503ac94178f1ed50f21d","observation_id":"ea79c633-f2f6-4e86-a32d-b52f0c3c4068","resolution":{"observed_at":"2026-08-07T15:42:34.960657Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.06149","last_updated":"2024-04-16T00:24:55Z","snapshot_observed_at":"2026-08-09T01:58:31.607095Z","submitted_at":"2024-03-10T09:39:00Z","title":"Can Large Language Models Automatically Score Proficiency of Written Essays?","version":2},"cited_work":{"arxiv_id":"2403.06149","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.06149","snapshot_observed_at":"2026-07-04T16:39:57.714468Z","title":"& Elsayed, T","venue":null,"work_id":"3df54a7c-1193-482b-b860-921194cf312c","year":2024},"citing_paper":{"arxiv_id":"2606.20152","last_updated":"2026-06-18T12:18:54Z","snapshot_observed_at":"2026-08-08T10:05:09.940255Z","submitted_at":"2026-06-18T12:18:54Z","title":"From Texts to Scores: Tracing the Emergence of Essay Quality Representations in Large Language Models","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-06-26T17:17:23.250463Z"},"links":{"cited_paper":"/paper/2403.06149","citing_paper":"/paper/2606.20152"},"observation_digest":"sha256:ac41e8d3dbe2c5f15dd05b600a91531400d173f849e7d93af1ad0e8a575b34ad","observation_id":"6b919a90-d83b-4d45-8ff9-6822d3d1e0da","resolution":{"observed_at":"2026-07-04T03:59:34.247555Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.06149","last_updated":"2024-04-16T00:24:55Z","snapshot_observed_at":"2026-08-09T01:58:31.607095Z","submitted_at":"2024-03-10T09:39:00Z","title":"Can Large Language Models Automatically Score Proficiency of Written Essays?","version":2},"cited_work":{"arxiv_id":"2403.06149","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.06149","snapshot_observed_at":"2026-07-04T16:39:57.714468Z","title":"& Elsayed, T","venue":null,"work_id":"3df54a7c-1193-482b-b860-921194cf312c","year":2024},"citing_paper":{"arxiv_id":"2606.24973","last_updated":"2026-06-23T11:46:14Z","snapshot_observed_at":"2026-08-07T03:18:05.374638Z","submitted_at":"2026-06-23T11:46:14Z","title":"LLM Performance on a Real, Double-Marked GCSE Benchmark","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-26T00:22:34.121596Z"},"links":{"cited_paper":"/paper/2403.06149","citing_paper":"/paper/2606.24973"},"observation_digest":"sha256:346087849a6ff998c728b0800ddec3cd368d3a4797a4603aadba12e7325b710f","observation_id":"30a6b7e6-24d6-4295-9aad-e2617e08bba7","resolution":{"observed_at":"2026-07-04T16:39:57.716200Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.06149","last_updated":"2024-04-16T00:24:55Z","snapshot_observed_at":"2026-08-09T01:58:31.607095Z","submitted_at":"2024-03-10T09:39:00Z","title":"Can Large Language Models Automatically Score Proficiency of Written Essays?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.06149","snapshot_observed_at":"2026-08-02T01:56:30.920946Z","title":"arXiv preprint arXiv:2403.06149 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.14524","last_updated":"2026-07-16T03:23:31Z","snapshot_observed_at":"2026-08-04T07:14:04.686133Z","submitted_at":"2026-07-16T03:23:31Z","title":"WrAFT: a Modularized Automated Writing Evaluation System for Argumentative Essays","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-02T01:56:30.920946Z"},"links":{"cited_paper":"/paper/2403.06149","citing_paper":"/paper/2607.14524"},"observation_digest":"sha256:29647f82a51239e91bebe3271f314625f602b9b5772d251e44a286a013fdbb63","observation_id":"af8cd8b7-259f-4774-a761-c74247415b2b","resolution":{"observed_at":"2026-08-02T01:56:30.920946Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2403.06149/citation-record","integrity":"/paper/2403.06149/integrity","json":"/paper/2403.06149/citation-record.json","paper":"/paper/2403.06149"},"outbound":[],"paper":{"arxiv_id":"2403.06149","last_updated":"2024-04-16T00:24:55Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-09T01:58:31.607095Z","submitted_at":"2024-03-10T09:39:00Z","title":"Can Large Language Models Automatically Score Proficiency of Written Essays?"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.06149."}